AbstractObjectivesThe aim of this article is to map the European Organization for Research and Treatment of Cancer (EORTC) QLQ C-30 onto the EQ-5D measure to enable the estimation of health state values based on the EORTC QLQ C-30 data. The EORTC QLQ C-30 is of interest because it is the most commonly used instrument to measure the quality of life of cancer patients.MethodsRegression analysis is used to establish the relationship between the two instruments. The performance of the model is assessed in terms of how well the responses to the EORTC QLQ C-30 predict the EQ-5D responses for a separate data set.ResultsThe results showed that the model explaining EQ-5D values predicted well. All of the actual values were within the 95% confidence ...
Purpose: It has been argued that generic health-related quality of life measures are not sensitive t...
PURPOSE: It has been argued that generic health-related quality of life measures are not sensitive t...
Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevert...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
BACKGROUND: Clinical trials in cancer frequently include cancer-specific measures of health but not ...
Abstract Background The types of outcomes measured collected in clinical studies and those required ...
Background. Clinical trials in cancer frequently include cancer-specific measures of health but not ...
BACKGROUND: Although cancer-specific Health-related Quality-of-Life measures are commonly included i...
Background: The EORTC QLQ-C30 is one of the most commonly used measures in cancer but in its current...
Background: The EORTC QLQ-C30 is one of the most commonly used measures in cancer but in its current...
Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevert...
ABSTRACTObjectivesTo estimate models, via ordinary least squares regression, for predicting Euro Qol...
Background. Clinical trials in cancer frequently include cancer-specific measures of health but not ...
Purpose: It has been argued that generic health-related quality of life measures are not sensitive t...
PURPOSE: It has been argued that generic health-related quality of life measures are not sensitive t...
Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevert...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
Although cancer-specific Health-Related Quality of Life (HRQOL) are commonly included in randomized ...
BACKGROUND: Clinical trials in cancer frequently include cancer-specific measures of health but not ...
Abstract Background The types of outcomes measured collected in clinical studies and those required ...
Background. Clinical trials in cancer frequently include cancer-specific measures of health but not ...
BACKGROUND: Although cancer-specific Health-related Quality-of-Life measures are commonly included i...
Background: The EORTC QLQ-C30 is one of the most commonly used measures in cancer but in its current...
Background: The EORTC QLQ-C30 is one of the most commonly used measures in cancer but in its current...
Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevert...
ABSTRACTObjectivesTo estimate models, via ordinary least squares regression, for predicting Euro Qol...
Background. Clinical trials in cancer frequently include cancer-specific measures of health but not ...
Purpose: It has been argued that generic health-related quality of life measures are not sensitive t...
PURPOSE: It has been argued that generic health-related quality of life measures are not sensitive t...
Suppose that one has a clinical dataset with only non-preference-based QOL data, and that one nevert...